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Using Classification Trees to Detect Lameness in Sows

Authors
  • Caitlyn E. Abell (Iowa State University)
  • Anna K. Johnson (Iowa State University)
  • Locke A. Karriker (Iowa State University)
  • Suzanne T. Millman (Iowa State University)
  • Kenneth J. Stalder (Iowa State University)

Abstract

Developing an automatic lameness diagnosis algorithm will benefit scientists and producers in timely and effective identification of lame individuals before clinical signs are apparent as well as aid producers in their efforts to decrease herd lameness. Being able to predict the lameness in sows can aid in delivering maximum animal health benefits, improving sow lifetime productivity, and optimizing sow farm labor.

Keywords: ASL R2830

How to Cite:

Abell, C. E., Johnson, A. K., Karriker, L. A., Millman, S. T. & Stalder, K. J., (2013) “Using Classification Trees to Detect Lameness in Sows”, Iowa State University Animal Industry Report 10(1). doi: https://doi.org/10.31274/ans_air-180814-930

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Published on
2013-01-01

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